diff options
Diffstat (limited to 'tensorflow/contrib/lite/testing/parse_testdata.h')
-rw-r--r-- | tensorflow/contrib/lite/testing/parse_testdata.h | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/testing/parse_testdata.h b/tensorflow/contrib/lite/testing/parse_testdata.h new file mode 100644 index 0000000000..90839fe245 --- /dev/null +++ b/tensorflow/contrib/lite/testing/parse_testdata.h @@ -0,0 +1,74 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +==============================================================================*/ +#ifndef THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_NNAPI_PARSE_TESTDATA_H_ +#define THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_NNAPI_PARSE_TESTDATA_H_ + +#include <vector> +#include "tensorflow/contrib/lite/interpreter.h" +#include "tensorflow/contrib/lite/testing/test_runner.h" + +namespace tflite { +namespace testing { + +// Shape and data for a float tensor +struct FloatTensor { + std::vector<int> shape; + std::vector<float> flat_data; +}; + +// A prescribed input, output example +struct Example { + std::vector<FloatTensor> inputs; + std::vector<FloatTensor> outputs; +}; + +// Parses an example input and output file (used for unit tests) +TfLiteStatus ParseExamples(const char* filename, + std::vector<Example>* examples); + +// Inputs Tensors into a TensorFlow lite interpreter. Note, this will run +// interpreter.AllocateTensors(); +TfLiteStatus FeedExample(tflite::Interpreter* interpreter, const Example&); + +// Check outputs against (already) evaluated result. +TfLiteStatus CheckOutputs(tflite::Interpreter* interpreter, const Example&); + +// Parses a test description and feeds the given test runner with data. +// The input format is similar to an ASCII proto: +// // Loads model 'add.bin' from the TestRunner's model directory. +// load_model: "add.bin" +// // Changes the shape of inputs, provided in the same order they appear +// // in the model. +// reshape { +// input: "1,224,224,3" +// input: "1,3,4,1" +// } +// // Fills the given persistent tensors with zeros. +// init_state: 0,1,2,3 +// // Invokes the interpreter with the given input and checks that it +// // produces the expected output. Inputs and outputs should be specified in +// // the order they appear in the model. +// invoke { +// input: "1,2,3,4,56" +// input: "0.1,0.2,0.3,4.3,56.4" +// output: "12,3,4,545,3" +// output: "0.01,0.02" +// } +bool ParseAndRunTests(std::istream* input, TestRunner* test_runner); + +} // namespace testing +} // namespace tflite + +#endif // THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_NNAPI_PARSE_TESTDATA_H_ |